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dc.contributor.authorMugume, Seith Ncwanga
dc.date.accessioned2015-12-03T12:33:00Z
dc.date.issued2015-08-10
dc.description.abstractIn future cities, urban drainage and flood management systems should be designed not only to reliable during normal operating conditions but also to be resilient to exceptional threats that lead to catastrophic failure impacts and consequences. Resilience can potentially be built into urban drainage systems by implementing a range of strategies, for example by embedding redundancy and flexibility in system design or rehabilitation to increase their ability to efficiently maintain acceptable customer flood protection service levels during and after occurrence of failure or through installation of equipment that enhances customer preparedness for extreme events or service disruptions. However, operationalisation of resilience in urban flood management is still constrained by lack of suitable quantitative evaluation methods. Existing hydraulic reliability-based approaches tend to focus on quantifying functional failure caused by extreme rainfall or increases in dry weather flows that lead to hydraulic overloading of the system. Such approaches take a narrow view of functional resilience and fail to explore the full system failure scenario space due to exclusion of internal system failures such as equipment malfunction, sewer (link) collapse and blockage that also contribute significantly to urban flooding. In this research, a new analytical approach based on Global Resilience Analysis (GRA) is investigated and applied to systematically evaluate the performance of an urban drainage system (UDS) when subjected to a wide range of both functional and structural failure scenarios resulting from extreme rainfall and pseudo random cumulative link failure respectively. Failure envelopes, which represent the resulting loss of system functionality (impacts) are determined by computing the upper and lower limits of the simulation results for total flood volume (failure magnitude) and average flood duration (failure duration) at each considered failure level. A new resilience index is developed and applied to link resulting loss of functionality magnitude and duration to system residual functionality (head room) at each considered failure level. With this approach, resilience has been tested and characterized for a synthetic UDS and for an existing UDS in Kampala city, Uganda. In addition, the approach has been applied to quantify the impact of interventions (adaptation strategies) on enhancement of global UDS resilience to flooding. The developed GRA method provides a systematic and computationally efficient approach that enables evaluation of whole system resilience, where resilience concerns ‘beyond failure’ magnitude and duration, without prior knowledge of threat occurrence probabilities. The study results obtained by applying the developed method to the case studies suggest that by embedding the cost of failure in resilience-based evaluation, adaptation strategies which enhance system flexibility properties such as distributed storage and improved asset management are more cost-effective over the service life of UDSs.en_GB
dc.description.sponsorshipUK Common Wealth Scholarships Commission (CSC)en_GB
dc.identifier.citationMugume, S.N., Gomez, D.E., Fu, G., Farmani, R., Butler, D. (2015). A global analysis approach for investigating structural resilience in urban drainage systems. Water Research. 81, 15–26. doi:10.1016/j.watres.2015.05.030en_GB
dc.identifier.citationMugume, S.N., Diao, K., Astaraie-Imani, M., Fu, G., Farmani, R., Butler, D. (2015). Enhancing resilience in urban water systems for future cities. Water Science & Technology: Water Supply. doi:10.2166/ws.2015.098en_GB
dc.identifier.citationMugume, S.N., Butler, D. (2015). Evaluation of functional resilience in urban drainage and flood management systems using a global analysis approach. Manuscript in revision. Urban Water Journalen_GB
dc.identifier.citationMugume, S.N., Butler, D., (2015). Resilience-based evaluation of urban drainage systems: The “Safe & SuRe” Approach, in: CIWEM Urban Drainage Group Annual Autumn Conference and Exhibition. Chester, UKen_GB
dc.identifier.citationMugume, S.N., Butler, D., (2015). Moving from reliability to resilience-based evaluation of urban drainage infrastructure: A case study of Kampala, Uganda in: 10th International Urban Drainage Modelling Conference. IWA/IAHR, Quebec, Canadaen_GB
dc.identifier.citationMugume, S.N., Gomez, D., Butler, D. (2014). Quantifying the resilience of urban drainage systems using a hydraulic performance assessment approach, in: 13th International Conference on Urban Drainage. IWA/IAHR, Sarawak, Malaysiaen_GB
dc.identifier.citationMugume, S.N., Gomez, D., Butler, D. (2013). Statistical methods for climate change impact assessment on urban rainfall extremes for cities in tropical developing countries – A review, in: Butler, D., Chen, A.S., Djordjevic, S., Hammond, M.J. (Eds.), International Conference on Flood Resilience: Experiences in Asia and Europe, Exeter, United Kingdomen_GB
dc.identifier.urihttp://hdl.handle.net/10871/18870
dc.language.isoenen_GB
dc.publisherUniversity of Exeteren_GB
dc.rights.embargoreasonI wish to publish papers using material that is substantially drawn from my thesis.en_GB
dc.rightsI wish to place an embargo on my thesis to be made universally accessible via ORE, the online institutional repository, for a standard period of 18 months.en_GB
dc.subjectAdaptationen_GB
dc.subjectExtreme eventsen_GB
dc.subjectFlexibilityen_GB
dc.subjectGlobal resilience analysisen_GB
dc.subjectHydraulic failuresen_GB
dc.subjectStructural failuresen_GB
dc.subjectUrban floodingen_GB
dc.subjectUrban water managementen_GB
dc.titleModelling and Resilience-based Evaluation of Urban Drainage and Flood Management Systems for Future Citiesen_GB
dc.typeThesis or dissertationen_GB
dc.contributor.advisorButler, David
dc.contributor.advisorGomez, Diego E
dc.publisher.departmentEngineeringen_GB
dc.type.degreetitlePHD in Engineeringen_GB
dc.type.qualificationlevelDoctoralen_GB
dc.type.qualificationnamePhDen_GB


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